Add to ORKGStochastic frontier analysis is an exciting method of economic production modeling that is relevant to hospitals, stock markets, manufacturing factories, and services. In this paper, we create a new model using the normal distribution and truncated skew-Laplace distribution, namely the normal-truncated skew-Laplace model. This is a generalized model of the normal-exponential case. Furthermore, we compute the true technical efficiency and estimated technical efficiency of the normal-truncated skewed-Laplace model. Also, we compare the technical efficiencies of normal-truncated skewed-Laplace model and normal-exponential model
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
This paper concentrates on negatively skewed one-sided distributions as an explanation of the occurr...
A random variable X is said to have the skew-Laplace probability distribution if its pdf is given by...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cla...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Skewness is an intrinsic characteristic in Stochastic Frontier Analysis (SFA), where it is used as a...
The stochastic frontier model was first proposed in the context of production function estimation to...
Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency c...
Skew Laplace distributions, which naturally arise in connection with random summation and quantile r...
This paper proposes a semiparametric smooth-coefficient stochastic production frontier model where a...
Stochastic Frontier Analysis (SFA) models have been using skewness as an intrinsic characteristic to...
The aim of the present study is to investigate a probability distribution that can be derived from t...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
This paper concentrates on negatively skewed one-sided distributions as an explanation of the occurr...
A random variable X is said to have the skew-Laplace probability distribution if its pdf is given by...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cla...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Skewness is an intrinsic characteristic in Stochastic Frontier Analysis (SFA), where it is used as a...
The stochastic frontier model was first proposed in the context of production function estimation to...
Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency c...
Skew Laplace distributions, which naturally arise in connection with random summation and quantile r...
This paper proposes a semiparametric smooth-coefficient stochastic production frontier model where a...
Stochastic Frontier Analysis (SFA) models have been using skewness as an intrinsic characteristic to...
The aim of the present study is to investigate a probability distribution that can be derived from t...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
This paper concentrates on negatively skewed one-sided distributions as an explanation of the occurr...
A random variable X is said to have the skew-Laplace probability distribution if its pdf is given by...